Session Outline
People are interconnected, and so their health is interconnected. It is proven that for humans having a more diverse social network is associated with better health outcomes such as greater immunity to infectious disease . The perceived availability of social support, has direct effects on health and buffers negative effects. The project aims for development of assets instrumented, interconnects and intelligent which will act autonomously in order to optimize industrial processes preserving asset integrity following behavior models inspired by human social networks
Key Takeaways
- Maintenace becomes dynamic through machine machine learning since humans contribute but do not dictate maintenance policies
- Changing environment enhance asset health preservation and more resilient and long lasting assets
- Machines learn from others to take better care of them since generated data is understood and processed by other machines
- O&M is performed and optimized by the machines in a non human centric approach
- Better industrial processes through optimized O&M by the means of machine-machine interaction
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Speaker Bio
Diego Galar – Professor | Luleå University of Technology
Dr. Diego Galar is Full Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology where he is coordinating several H2020 projects related to different aspects of cyber physical systems, Industry 4.0, IoT or Industrial AI and Big Data. He was also involved in the SKF UTC centre located in Lulea focused on SMART bearings and also actively involved in national projects with the Swedish industry or funded by Swedish national agencies like Vinnova. He is also principal researcher in Tecnalia (Spain), heading the Maintenance and Reliability research group within the Division of Industry and Transport. He has authored more than five hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journals and conferences and actively participating in national and international committees for standardization and R&D in the topics of reliability and maintenance. In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA) and the Universidad Pontificia Católica de Chile. Currently, he is visiting professor in University of Sunderland (UK), University of Maryland (USA), and Chongqing University in China.
Day 2 | M6 | Cloud Computing & Analytics Stage
Diego Galar – Professor | Luleå University of Technology